Become a cloud pro with strategic GCP skills. Get hands-on experience, understand "Why GCP?", and prepare with a practice exam. No setup, no cleanup, no hassle.

Cracking the Google Cloud Associate Cloud Engineer Certification.png

cloud_sdk_2025.tar.gz

Cloud SDK

Google Cloud Platform will be the next major cloud admin skill in the coming years. Google is increasing its market reach in the cloud provider domain using strategic partnerships and a lot of funding for the customers. So, no doubt that GCP is going to dominate the cloud domain in the coming years.

This course is a headstart to quickly get hands-on with GCP and make yourself comfortable with it. You will start with "Why GCP?" and will go all the way to using its services in different ways. If you are from an AWS background, you will find the course very easy to understand due to similarities between AWS and GCP services.

At the end of the course, you will take a practice exam that will resemble the exam you’ll take when you go to get your Google Cloud Engineer Certification. Good luck!

Cracking the Google Associate Cloud Engineer Certification

Google is known for developing revolutionary technologies for its services, and once they have a better version, the old version is open-sourced to the world.

**TensorFlow** is one of these technologies. TensorFlow was Google’s AI engine and the core of Google Search. Now, it is open-sourced, and anyone can use it for Machine Learning tasks.

Let’s see why one should opt for the Google Cloud Platform.


# Secure global private network

Google Cloud is a large private network; nothing travels via the public Internet. When using Cloud CDN, traffic from your origin traverses through this proprietary fiber network for delivery through the location closest to the customer. Most research companies opt for GCP because no network is connected to the Internet.


# Live migration of VMs

Live migration is migrating your entire VM to other infrastructure, carrying out all the updates at the hardware level, restoring the VM without stopping it, and doing all this without any user intervention. As of now, live migration is only offered by Google Cloud. For other cloud providers, either you need to stop and migrate your VM for critical updates or create a new VM with a startup script.


# Unconventional billing and offers

Google Cloud introduced per-second billing to the market. Before that, it was either transaction-based billing or per-hour billing. A per-second billing model saves an individual a lot. Google Cloud also provides different discounts for some of the services.

- _Sustained use discounts:_ Google Cloud provides up to a 30% discount if an eligible resource is used for the whole month.


- New users get a $300 credit for the first ninety days.


- _Committed use discounts:_ If you are sure about the server usage, you can get up to an 80% discount by reserving the resource upfront, and equated monthly invoices are sent to you.


- _Startup credits of $10000:_ If you are a startup, Google Cloud provides $ 10000 credits to use Google Cloud.


# Creator of Kubernetes Engine

Kubernetes is a container orchestration tool designed and created by Google to manage its infrastructure. Millions of containers were deployed to host Google services, and Kubernetes was the heart of those containers. Google open-sourced this technology and provided a Google-managed Kubernetes engine as a service.


Google Cloud powers Google’s infrastructure, and security is of the utmost concern to Google. Hence, highly skilled and certified professionals look after the infrastructure.


# AI and ML services

No question that Google is the king of data. The more data you have, the more accurate your model will produce in the AI world. Google’s ML services are the best. Google provides several ML services to train your model and handle the model training pipeline.


[Kubeflow](https://www.kubeflow.org/) is trending for ML ops now. Again, KubeFlow was based on Google’s internal method to deploy TensorFlow models to Kubernetes, called TensorFlow Extended.



# Organized structure

Google Cloud services are designed so that any newbie can learn it quickly. In addition, the structure of services is very organized, which helps keep the services in different logical boundaries confined to different roles and levels of an organization.


In this lesson, we will look at some of the amazing facts about Google Cloud and some technologies that Google created and open-sourced for the developer community.


Why Google Cloud Platform?

In this lesson, we will look at some of the amazing facts about Google Cloud and some technologies that Google created and open-sourced for the developer community.

Introduction

Creating Projects and IAM

Billing Management

Google Cloud CLI

Compute Service Offerings

Storage

Network Resources

Cost Estimation

Event Driven Services

Monitoring and logging

Miscellaneous Services

GCP Certified Associate Cloud Engineer Practice Exam

Why Google Cloud Platform?

Secure global private network

Live migration of VMs